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Understanding sampling uncertainty: the concepts 

Understanding sampling uncertainty: the concepts
Understanding sampling uncertainty: the concepts

Dr. Henry A. Glick

, Dr. Jalpa A. Doshi

, Dr. Seema S. Sonnad

, and Dr. Daniel Polsky

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date: 07 March 2021

This chapter discusses the concepts underlying sampling uncertainty for cost-effectiveness analysis. It focuses on the similarities and differences between sampling uncertainty for clinical and cost-effectiveness outcomes, as well as the methods to express and quantify the value of this uncertainty (incremental cost-effectiveness ratios, net monetary benefit, acceptability curves, and value of information). It also discusses the complications that arise in cases where the effectiveness measure is not statistically significant. New sections include the discussion of value of information as well as substantial rewriting of the material related to the complications that arise when the difference in effect is not statistically significant.

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